Safe AI Infrastructure

How ops0 turns intent into governed cloud infrastructure.

ops0 sits between a user intent and real cloud infrastructure. It uses discovery, generated IaC, policy checks, Git review, approval gates, audit evidence, and drift monitoring so AI can accelerate infrastructure work without bypassing security and compliance.

Live discovery before generation

Resource Graph dependency context

Policy and compliance gates

Cost checks before deployment

GitHub and GitLab review paths

Human approval for risky changes

Sensitive data controls before AI use

Audit logs and report evidence

Drift detection after deployment

The safety path

The prompt is only the start.

01

Intent is grounded in live context

ops0 does not treat a prompt as enough information to change cloud infrastructure. Discovery, Resource Graph, project metadata, existing IaC, and ownership context help define what the user is asking for and what already exists.

02

Generated code stays reviewable

The output is infrastructure code and configuration that teams can inspect. Terraform, OpenTofu, Oxid, Ansible, Kubernetes manifests, and generated assets can move through the same review paths teams already trust.

03

Policy and compliance run before apply

Security and compliance checks are part of the deployment path. OPA/Rego rules, framework controls, cost estimation, and project policy context can block or warn before a risky change reaches production.

04

Git and approval gates keep humans in control

Risky, production-impacting, costly, or policy-sensitive changes can be routed through GitHub, GitLab, pull requests, and explicit approvals instead of being silently applied.

05

Every decision leaves evidence

Deployments, policy results, approval decisions, sync status, compliance scans, and report access are recorded so security and compliance teams can review what happened later.

06

Live infrastructure keeps checking back

After deployment, ops0 continues watching for drift, compliance gaps, Kubernetes incidents, and resource changes so the system does not stop being safe once the code is merged.

What ops0 will not make invisible

AI should not become a shadow control plane.

ops0 is designed so generated infrastructure can be reviewed, versioned, checked, approved, deployed, and audited. The platform is not trying to hide code generation behind a chat interface or skip the systems teams already use for production trust.

The safer model is explicit: discover real cloud state, generate code with context, check policy before deployment, require review when risk is high, and keep watching production after the change lands.

Direct answers

Safe AI infrastructure FAQ

How does ops0 safely turn intent into cloud infrastructure?

ops0 translates intent into reviewable infrastructure code, uses live discovery context, checks policy and cost, routes risky changes through Git and approval, records evidence, and monitors drift after deployment.

What are ops0's six change-control gates?

Plan, Policy, Cost, Approval, Audit, and Apply. Policy includes security rules, organizational compliance policies, cloud standards, and environment guardrails. Apply runs only after the prior five gates pass.

Does ops0 automatically apply every AI-generated change?

No. ops0 is built around governed workflows. Production-impacting, costly, or policy-sensitive changes go through Plan, Policy, Cost, Approval, Audit, and Apply gates before any resource changes.

How does ops0 reduce risk from AI-generated IaC?

ops0 grounds generation in discovered infrastructure, injects policy and project context, syncs code to review workflows, checks compliance and cost before deployment, and keeps an audit trail of decisions.

What happens after an ops0 deployment?

ops0 continues monitoring live infrastructure for drift, compliance gaps, incidents, and operational changes so deployed infrastructure remains reviewable.

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